• DocumentCode
    2145144
  • Title

    A vowel-driven connected Mandarin digit recognition system

  • Author

    Ruey-Ching Shyu ; Jhing-Fa Wang ; Chaug-Ching Huang ; Chung-Hsien Wu ; Jau-Yien Lee

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    3
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    638
  • Abstract
    A vowel-driven connected Mandarin digit recognition system is presented in the paper. Since Mandarin is a monosyllabic language, each syllable has a consonant (may be null) and a vowel. Hence, the authors develop a segmentation algorithm to segment a connected digit string into the consonant and stable-region parts, where a stable region may contain one or more vowels. The stable-region parts are recognized first. The Mandarin digits, except (1,7) and (6,9), can be recognized just by their vowel parts. While the remaining digit pairs (1,7) and (6,9), which have the same vowel parts, are further distinguished by the special acoustic characteristic of the consonant part. The recognition system is tested in a speaker-dependent mode and under two different cases; known string length and unknown string length. The string error rates of 5.3% and 7.4% are achieved in the known-length and unknown-length case respectively.<>
  • Keywords
    learning (artificial intelligence); linguistics; natural languages; speech recognition; acoustic characteristic; connected digit string; consonant part; digit pairs; error rates; monosyllabic language; segmentation algorithm; speaker-dependent mode; stable-region part; string length; vowel-driven connected Mandarin digit recognition system; Acoustic testing; Error analysis; Natural languages; Pattern recognition; Speech recognition; System testing; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.328068
  • Filename
    328068